=== Classifier model (full training set) === ZeroR predicts class value: tumoral_urothelia Time taken to build model: 0.02 seconds Time taken to test model on training data: 1.29 seconds === Error on training data === Correctly Classified Instances 48 56.4706 % Incorrectly Classified Instances 37 43.5294 % Kappa statistic 0 Mean absolute error 0.4918 Root mean squared error 0.4958 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 85 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,565 1,000 0,722 ? 0,500 0,565 tumoral_urothelia 0,000 0,000 ? 0,000 ? ? 0,500 0,435 normal_urothelia Weighted Avg. 0,565 0,565 ? 0,565 ? ? 0,500 0,508 === Confusion Matrix === a b <-- classified as 48 0 | a = tumoral_urothelia 37 0 | b = normal_urothelia Time taken to perform cross-validation: 1.3 seconds === Stratified cross-validation === Correctly Classified Instances 48 56.4706 % Incorrectly Classified Instances 37 43.5294 % Kappa statistic 0 Mean absolute error 0.492 Root mean squared error 0.4959 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 85 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,565 1,000 0,722 ? 0,491 0,560 tumoral_urothelia 0,000 0,000 ? 0,000 ? ? 0,491 0,431 normal_urothelia Weighted Avg. 0,565 0,565 ? 0,565 ? ? 0,491 0,504 === Confusion Matrix === a b <-- classified as 48 0 | a = tumoral_urothelia 37 0 | b = normal_urothelia